Is silent myocardial infarction more common in women with type 2 diabetes than in men?

Abstract Objective Our aim was to determine if silent myocardial infarction (MI) is more common in women with type 2 diabetes than in men. Our secondary aim was to examine the relationships between silent MI and risk factors for cardiovascular disease. Research design and methods The Action to Contr...

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Veröffentlicht in:Journal of diabetes and its complications 2012-03, Vol.26 (2), p.118-122
Hauptverfasser: Stiles, Monica C, Seaquist, Elizabeth R, Yale, Jean Francois, Green, Jennifer B, Katz, Lois Anne, Kempainen, Sarah, Light, Laney S, Pepper, Patricia V, Zhang, Zhu-Ming, Soliman, Elsayed Z
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container_end_page 122
container_issue 2
container_start_page 118
container_title Journal of diabetes and its complications
container_volume 26
creator Stiles, Monica C
Seaquist, Elizabeth R
Yale, Jean Francois
Green, Jennifer B
Katz, Lois Anne
Kempainen, Sarah
Light, Laney S
Pepper, Patricia V
Zhang, Zhu-Ming
Soliman, Elsayed Z
description Abstract Objective Our aim was to determine if silent myocardial infarction (MI) is more common in women with type 2 diabetes than in men. Our secondary aim was to examine the relationships between silent MI and risk factors for cardiovascular disease. Research design and methods The Action to Control Cardiovascular Risk in Diabetes (ACCORD) database was used to determine if women had more silent MI on baseline electrocardiograms (ECGs) than did men with a similar unremarkable cardiovascular history. MI was diagnosed using ECG analysis according to the Minnesota code. Multivariable logistic regression analysis was used to compare demographic and clinical associations. Interactive effects of risk factors by gender were tested using a forward selection algorithm. Results Men were found to have a higher prevalence of silent MI on baseline ECGs than women (6% vs 4%, P = .001). Women had lower odds of silent MI than men after adjusting for other risk factors (OR = 0.80, P = .04). Race and ethnicity were significantly associated with silent MI ( P = .02), with Asians having the highest and African Americans and Hispanics having lower odds relative to whites. Conclusions Our main findings provide no evidence that silent MI, as detected by the Minnesota code, was more common in women than in men in the ACCORD cohort. If, as in the general population, the women in ACCORD are found to have a higher heart disease mortality rate than the men, it seems unlikely that failure to recognize clinically silent heart disease in the years before study enrollment could be a major cause.
doi_str_mv 10.1016/j.jdiacomp.2012.02.002
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Our secondary aim was to examine the relationships between silent MI and risk factors for cardiovascular disease. Research design and methods The Action to Control Cardiovascular Risk in Diabetes (ACCORD) database was used to determine if women had more silent MI on baseline electrocardiograms (ECGs) than did men with a similar unremarkable cardiovascular history. MI was diagnosed using ECG analysis according to the Minnesota code. Multivariable logistic regression analysis was used to compare demographic and clinical associations. Interactive effects of risk factors by gender were tested using a forward selection algorithm. Results Men were found to have a higher prevalence of silent MI on baseline ECGs than women (6% vs 4%, P = .001). Women had lower odds of silent MI than men after adjusting for other risk factors (OR = 0.80, P = .04). Race and ethnicity were significantly associated with silent MI ( P = .02), with Asians having the highest and African Americans and Hispanics having lower odds relative to whites. Conclusions Our main findings provide no evidence that silent MI, as detected by the Minnesota code, was more common in women than in men in the ACCORD cohort. If, as in the general population, the women in ACCORD are found to have a higher heart disease mortality rate than the men, it seems unlikely that failure to recognize clinically silent heart disease in the years before study enrollment could be a major cause.</description><identifier>ISSN: 1056-8727</identifier><identifier>ISSN: 1873-460X</identifier><identifier>EISSN: 1873-460X</identifier><identifier>DOI: 10.1016/j.jdiacomp.2012.02.002</identifier><identifier>PMID: 22446034</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Action to Control Cardiovascular Risk in Diabetes (ACCORD) Trial ; Aged ; Algorithms ; Asian People - statistics &amp; numerical data ; Black People - statistics &amp; numerical data ; Cardiovascular disease ; Cardiovascular disease in women ; Cohort Studies ; Diabetes ; Diabetes Mellitus, Type 2 - complications ; Diabetes Mellitus, Type 2 - epidemiology ; Diabetes Mellitus, Type 2 - ethnology ; Diabetic Cardiomyopathies - epidemiology ; Diabetic Cardiomyopathies - ethnology ; Electrocardiography ; Endocrinology &amp; Metabolism ; Female ; Heart attacks ; Hispanic or Latino - statistics &amp; numerical data ; Humans ; Male ; Middle Aged ; Mortality ; Myocardial Infarction - diagnosis ; Myocardial Infarction - epidemiology ; Myocardial Infarction - ethnology ; Prevalence ; Risk Factors ; Silent myocardial infarction ; Type 2 diabetes ; White People - statistics &amp; numerical data</subject><ispartof>Journal of diabetes and its complications, 2012-03, Vol.26 (2), p.118-122</ispartof><rights>Elsevier Inc.</rights><rights>2012 Elsevier Inc.</rights><rights>Copyright © 2012 Elsevier Inc. 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All rights reserved. 2012</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c587t-9a17084d3dfdd2f3688cd1ceb0c179b946d7a95132ba8b54c74b643a67fb5eb03</citedby><cites>FETCH-LOGICAL-c587t-9a17084d3dfdd2f3688cd1ceb0c179b946d7a95132ba8b54c74b643a67fb5eb03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/1033369565?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>230,314,778,782,883,3539,27911,27912,45982,64370,64372,64374,72226</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22446034$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Stiles, Monica C</creatorcontrib><creatorcontrib>Seaquist, Elizabeth R</creatorcontrib><creatorcontrib>Yale, Jean Francois</creatorcontrib><creatorcontrib>Green, Jennifer B</creatorcontrib><creatorcontrib>Katz, Lois Anne</creatorcontrib><creatorcontrib>Kempainen, Sarah</creatorcontrib><creatorcontrib>Light, Laney S</creatorcontrib><creatorcontrib>Pepper, Patricia V</creatorcontrib><creatorcontrib>Zhang, Zhu-Ming</creatorcontrib><creatorcontrib>Soliman, Elsayed Z</creatorcontrib><title>Is silent myocardial infarction more common in women with type 2 diabetes than in men?</title><title>Journal of diabetes and its complications</title><addtitle>J Diabetes Complications</addtitle><description>Abstract Objective Our aim was to determine if silent myocardial infarction (MI) is more common in women with type 2 diabetes than in men. Our secondary aim was to examine the relationships between silent MI and risk factors for cardiovascular disease. Research design and methods The Action to Control Cardiovascular Risk in Diabetes (ACCORD) database was used to determine if women had more silent MI on baseline electrocardiograms (ECGs) than did men with a similar unremarkable cardiovascular history. MI was diagnosed using ECG analysis according to the Minnesota code. Multivariable logistic regression analysis was used to compare demographic and clinical associations. Interactive effects of risk factors by gender were tested using a forward selection algorithm. Results Men were found to have a higher prevalence of silent MI on baseline ECGs than women (6% vs 4%, P = .001). Women had lower odds of silent MI than men after adjusting for other risk factors (OR = 0.80, P = .04). Race and ethnicity were significantly associated with silent MI ( P = .02), with Asians having the highest and African Americans and Hispanics having lower odds relative to whites. Conclusions Our main findings provide no evidence that silent MI, as detected by the Minnesota code, was more common in women than in men in the ACCORD cohort. 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Our secondary aim was to examine the relationships between silent MI and risk factors for cardiovascular disease. Research design and methods The Action to Control Cardiovascular Risk in Diabetes (ACCORD) database was used to determine if women had more silent MI on baseline electrocardiograms (ECGs) than did men with a similar unremarkable cardiovascular history. MI was diagnosed using ECG analysis according to the Minnesota code. Multivariable logistic regression analysis was used to compare demographic and clinical associations. Interactive effects of risk factors by gender were tested using a forward selection algorithm. Results Men were found to have a higher prevalence of silent MI on baseline ECGs than women (6% vs 4%, P = .001). Women had lower odds of silent MI than men after adjusting for other risk factors (OR = 0.80, P = .04). Race and ethnicity were significantly associated with silent MI ( P = .02), with Asians having the highest and African Americans and Hispanics having lower odds relative to whites. Conclusions Our main findings provide no evidence that silent MI, as detected by the Minnesota code, was more common in women than in men in the ACCORD cohort. If, as in the general population, the women in ACCORD are found to have a higher heart disease mortality rate than the men, it seems unlikely that failure to recognize clinically silent heart disease in the years before study enrollment could be a major cause.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>22446034</pmid><doi>10.1016/j.jdiacomp.2012.02.002</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record>
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subjects Action to Control Cardiovascular Risk in Diabetes (ACCORD) Trial
Aged
Algorithms
Asian People - statistics & numerical data
Black People - statistics & numerical data
Cardiovascular disease
Cardiovascular disease in women
Cohort Studies
Diabetes
Diabetes Mellitus, Type 2 - complications
Diabetes Mellitus, Type 2 - epidemiology
Diabetes Mellitus, Type 2 - ethnology
Diabetic Cardiomyopathies - epidemiology
Diabetic Cardiomyopathies - ethnology
Electrocardiography
Endocrinology & Metabolism
Female
Heart attacks
Hispanic or Latino - statistics & numerical data
Humans
Male
Middle Aged
Mortality
Myocardial Infarction - diagnosis
Myocardial Infarction - epidemiology
Myocardial Infarction - ethnology
Prevalence
Risk Factors
Silent myocardial infarction
Type 2 diabetes
White People - statistics & numerical data
title Is silent myocardial infarction more common in women with type 2 diabetes than in men?
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